Cited by 107Numerical methods in inverse problemsSparse and Compressive Sensing TechniquesRadar Systems and Signal Processing

Multipath time-delay detection and estimation

Fuchs, J.-J.·1999·IEEE Transactions on Signal Processing

Abstract

A transmitted and known signal is observed at the receiver through more than one path in additive noise. The problem is to estimate the number of paths and, for each of them, the associated attenuation and delay. We propose a deconvolution approach with an additive regularization term built around an l/sub 1/ norm. The underlying optimization problem is transformed into a quadratic program and is, thus, easily and quickly solved by standard programs. The procedure is able to handle more severe conditions than previous methods.

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Crossref · 10.1109/78.738263

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Authors
Fuchs, J.-J.
Affiliations
Institut de Recherche en Informatique et Systèmes Aléatoires (FR)
Corresponding author
Fuchs, J.-J.
Venue
IEEE Transactions on Signal Processing
Published
1999
Volume
47
Issue
1
Pages
237-243
ISSN
1053-587X (ISSN-L)
OpenAlex
W2131222639
Cited by
107
References
11
Citations by year
2025: 1 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 7 · 2014: 6 · 2013: 4 · 2012: 4
FWCI
4.37
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Signal Processing (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
  • Physical Sciences › Engineering › Computational Mechanics › Sparse and Compressive Sensing Techniques
  • Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
Keywords
multipath channels, time delay estimation, deconvolution, L1 regularization, quadratic programming, additive noise

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